关于支持向量机的算法 支持向量机在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-On support vector machine support vector machine algorithm to solve small sample, nonlinear and high dimensional pattern recognition showed the advantage of many special, and can be

序贯最小优化： 训练支持向量机的一种快速算法。本文提出了一种新的支持向量机训练算法：顺序 最小优化，或SMO。-Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines.This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimi